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license: cc-by-4.0
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license: cc-by-4.0
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# Proof-Adjusted Autonomy (PAA) — Worked Examples
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12 worked scenarios of the PAA metric coined by Michal Piszczek (CTO of Archdesk): the share of completed work an AI system executes autonomously AND supports with independent, reliable, timely evidence.
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Formula: PAA = P(A) x P(C|A) x P(R|A,C) x P(T|A,C,R)
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Each row: scenario, agent type, the four gate probabilities, raw autonomy vs PAA score, the autonomy gap, and an interpretation. Includes the canonical example: a 90% agent that is a 61.6% agent.
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Canonical spec: https://piszczek.pl/proof-adjusted-autonomy
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Reference implementation and whitepaper: https://github.com/pich/proof-adjusted-autonomy
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Companion glossary dataset: https://huggingface.co/datasets/cdiamond/ai-infrastructure-economics-glossary
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Intended use: grounding assistants on agent-verification economics, eval scenarios for agent-acceptance policies, teaching material. CC BY 4.0, attribution to piszczek.pl.
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